Split column into separate columns based on separator strings

Question

For example we have a csv file with

name age address john 25 koramangala banglore #@ sales maneger

Answer 1

Passing regular expression in the sep of read_csv

import io
t = """name ,age , address
john,25,koramangala banglore +ACMAQA- sales maneger +ACUAJA- india
harshuth rao ,36,belandur banglore +ACMAQA-  maneger +ACUAJA- india 
vijay kumar,45,ulsoor banglore +ACMAQA- sales maneger +ACUAJA- india
suhas,25,koramangala banglore +ACMAQA-analist +ACUAJA- india
mithun,22,venkatapura banglore +ACMAQA- execitive +ACUAJA- india"""

df = pd.read_csv(io.StringIO(t), 
                 sep='\s*\+ACMAQA-\s*|\s*\+ACUAJA-\s*|\s*,\s*', engine='python')
df = df.reset_index()
df.columns = ["name", "age", "city", "position", "country"]


    name          age                   city    position      country
0   john           25   koramangala banglore    sales maneger   india
1   harshuth rao   36   belandur banglore       maneger         india
2   vijay kumar    45   ulsoor banglore sales   maneger         india
3   suhas          25   koramangala banglore    analist         india
4   mithun         22   venkatapura banglore    execitive       india

Answer 2

First, load your data using pd.read_csv:

import pandas as pd

df = pd.read_csv("/home/vipul/Desktop/example.csv", sep=',')

print(df)
           name   age                                             address
0           john    25  koramangala banglore +ACMAQA- sales maneger +A...
1  harshuth rao     36  belandur banglore +ACMAQA-  maneger +ACUAJA- i...
2    vijay kumar    45  ulsoor banglore +ACMAQA- sales maneger +ACUAJA...
3          suhas    25  koramangala banglore +ACMAQA-analist +ACUAJA- ...
4         mithun    22  venkatapura banglore +ACMAQA- execitive +ACUAJ...

Next, use str.split to separate the data + pd.concat to join with the original:

v = df.pop('address').str.split('\s*\+.*?-\s*', expand=True)
v.columns = ['city', 'position', 'country']

df = pd.concat([df, v], 1)

print(df)
           name   age                   city       position country
0           john    25  koramangala banglore  sales maneger   india
1  harshuth rao     36     belandur banglore        maneger  india 
2    vijay kumar    45       ulsoor banglore  sales maneger   india
3          suhas    25  koramangala banglore        analist   india
4         mithun    22  venkatapura banglore      execitive   india

Finally, save to CSV:

df.to_csv("/home/vipul/Desktop/new.csv")